Model free based finite time fault‐tolerant control of robot manipulators subject to disturbances and input saturation

This article proposed a model free based finite time fault‐tolerant control (FTC) method of robot manipulators subject to unknown disturbances, input saturation, and actuator faults. First, an accuracy‐driven integral terminal sliding mode surface (ADITSMS) was constructed, and the finite‐time conve...

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Vydáno v:International journal of robust and nonlinear control Ročník 32; číslo 9; s. 5281 - 5303
Hlavní autoři: Chen, Zhengsheng, Wang, Xue‐song, Cheng, Yuhu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hoboken, USA John Wiley & Sons, Inc 01.06.2022
Wiley Subscription Services, Inc
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ISSN:1049-8923, 1099-1239
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Abstract This article proposed a model free based finite time fault‐tolerant control (FTC) method of robot manipulators subject to unknown disturbances, input saturation, and actuator faults. First, an accuracy‐driven integral terminal sliding mode surface (ADITSMS) was constructed, and the finite‐time convergence and the parametric analysis were investigated. Second, based on the proposed ADITSMS, a double‐loop control framework which consists of the position loop and velocity loop was proposed, and the finite time command filtered algorithm was utilized to estimate the derivative of the virtual control law of the position loop, thus a novel finite‐time robust adaptive FTC was proposed. Third, to eliminate the negative effects of the faults and disturbances and implement model free control, the uncertainty and disturbance estimation is designed, and a novel adaptive algorithm is developed to suppress the estimation error whose upper bound or derivative was not required. Meanwhile, an auxiliary system is constructed to deal with the input saturation. The proposed controller possess the superiorities of model free nature and global finite time convergence property. Finally, numerical simulations and comparison studies were conducted to demonstrate the effectiveness of the proposed controller.
AbstractList This article proposed a model free based finite time fault‐tolerant control (FTC) method of robot manipulators subject to unknown disturbances, input saturation, and actuator faults. First, an accuracy‐driven integral terminal sliding mode surface (ADITSMS) was constructed, and the finite‐time convergence and the parametric analysis were investigated. Second, based on the proposed ADITSMS, a double‐loop control framework which consists of the position loop and velocity loop was proposed, and the finite time command filtered algorithm was utilized to estimate the derivative of the virtual control law of the position loop, thus a novel finite‐time robust adaptive FTC was proposed. Third, to eliminate the negative effects of the faults and disturbances and implement model free control, the uncertainty and disturbance estimation is designed, and a novel adaptive algorithm is developed to suppress the estimation error whose upper bound or derivative was not required. Meanwhile, an auxiliary system is constructed to deal with the input saturation. The proposed controller possess the superiorities of model free nature and global finite time convergence property. Finally, numerical simulations and comparison studies were conducted to demonstrate the effectiveness of the proposed controller.
Author Cheng, Yuhu
Wang, Xue‐song
Chen, Zhengsheng
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Snippet This article proposed a model free based finite time fault‐tolerant control (FTC) method of robot manipulators subject to unknown disturbances, input...
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SubjectTerms Actuators
Adaptive algorithms
Adaptive control
Control theory
Controllers
Convergence
Disturbances
fault tolerant control
input saturation
Manipulators
Mathematical models
model free control
Parametric analysis
Robot arms
Robot control
Robustness (mathematics)
Saturation
Sliding mode control
UDE
Upper bounds
Title Model free based finite time fault‐tolerant control of robot manipulators subject to disturbances and input saturation
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Frnc.6093
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Volume 32
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